Data Infrastructure & Interoperability
Engineering architecture, data standards, and cross-platform integration protocols powering Aevum Encyclopedia's global knowledge graph.
Aevum Encyclopedia operates on a distributed, polyglot data architecture designed for scale, verifiability, and seamless interoperability. Our infrastructure ingests, validates, and serves over 2.4 million structured articles across 140 languages, ensuring sub-50ms query latency while maintaining strict academic provenance.
Core Architecture
🗄️ Distributed Storage
Columnar Parquet files and Delta Lake tables store raw and processed knowledge entries across multi-region S3-compatible object storage with automatic tiering.
🔗 Knowledge Graph
Neo4j + RDF triplestore hybrid enables semantic reasoning, entity resolution, and cross-disciplinary relationship mapping at scale.
🧠 Vector Indexing
FAISS & pgvector power semantic search, embedding retrieval, and AI-driven contextual recommendations across all language variants.
⚡ Edge Caching
Global CDN with stale-while-revalidate strategies ensures <10ms TTFB for cached articles and standardized metadata payloads.
Data Pipeline Flow
Each stage includes automated audit logging, schema enforcement, and rollback capabilities. Failed transformations trigger alerting to the data quality dashboard.
Interoperability Standards
Aevum prioritizes open standards to enable seamless data exchange with academic institutions, digital libraries, and third-party researchers.
Supported Protocols & APIs
| Standard | Implementation |
|---|---|
| Wikibase REST API | Full v2 compatibility with custom extensions |
| OAI-PMH | Harvestable metadata sets per discipline/language |
| SPARQL Endpoint | RDF dataset query with 1M triple limit/query |
| GraphQL | Aggregated schema for articles, entities, and revisions |
| OpenAlex/Arc Interop | DOI & ORCID cross-linking via middleware |
Data Formats & Serialization
Data Governance & Versioning
Every data modification is tracked through an immutable revision history. Our governance framework ensures compliance with open licensing and academic integrity standards.
{
"dataset_policy": {
"license": "CC BY-SA 4.0",
"pii_handling": "GDPR compliant, opt-out available",
"versioning": "semantic (MAJOR.MINOR.PATCH)",
"audit_retention": "indefinite (WORM storage)",
"peer_review_sync": "automatic webhook to editorial dashboard"
}
}
Performance Specifications
| Metric | Target / Actual |
|---|---|
| Uptime SLA | 99.99% (measured by Pingdom) |
| Read Latency (p95) | < 45ms (edge cached) |
| Graph Query Timeout | 30s (SPARQL), 5s (GraphQL) |
| Daily Throughput | ~850M read requests / 12M writes |
| Storage Efficiency | 3.2:1 compression ratio (Parquet + ZSTD) |
Developer Integration
Access our sandbox environment to test API endpoints, download schema definitions, or request elevated rate limits for institutional research.
# Example: Fetch article metadata via GraphQL POST https://api.aevum.edu/v1/graphql { article(id: "qc_quantum_computing") { title, language, lastReviewedAt, entities(limit: 5) { label, uri } } }
Full documentation, Postman collections, and SDK packages (Python, R, JS) are available in the Developer Portal.